Yaël Balbastre

According to our database, Yaël Balbastre authored at least 27 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

IEEE Trans. Medical Imaging, March, 2023

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI.

Sean I. Young, Yaël Balbastre, Bruce Fischl, Polina Golland, Juan Eugenio Iglesias

CoRR, 2023

Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI.

Matthew G. French, Gonzalo D. Maso Talou, Thiranja P. Babarenda Gamage, Martyn P. Nash, Poul M. F. Nielsen, Anthony J. Doyle, Juan Eugenio Iglesias, Yaël Balbastre, Sean I. Young

CoRR, 2023

2022

Volumetric Characterization of Microvasculature in Ex Vivo Human Brain Samples By Serial Sectioning Optical Coherence Tomography.

Jiarui Yang, Shuaibin Chang, Ichun Anderson Chen, Sreekanth Kura, Grace A. Rosen, Nicole A. Saltiel, Bertrand R. Huber, Divya Varadarajan, Yaël Balbastre, Caroline Magnain, Shih-Chi Chen, Bruce Fischl, Ann C. McKee, David A. Boas, Hui Wang

IEEE Trans. Biomed. Eng., 2022

SuperWarp: Supervised Learning and Warping on U-Net for Invariant Subvoxel-Precise Registration.

Sean I. Young, Yaël Balbastre, Adrian V. Dalca, William M. Wells III, Juan Eugenio Iglesias, Bruce Fischl

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Fitting Segmentation Networks on Varying Image Resolutions Using Splatting.

Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.

Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl

NeuroImage, 2021

Model-based multi-parameter mapping.

Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner

Medical Image Anal., 2021

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.

Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich

CoRR, 2021

Factorisation-based Image Labelling.

Yu Yan, Yaël Balbastre, Mikael Brudfors, John Ashburner

CoRR, 2021

Correcting inter-scan motion artefacts in quantitative R1 mapping at 7T.

Yaël Balbastre, Ali Aghaeifar, Nadège Corbin, Mikael Brudfors, John Ashburner, Martina F. Callaghan

CoRR, 2021

An MRF-UNet Product of Experts for Image Segmentation.

Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast.

Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl

CoRR, 2020

Groupwise Multimodal Image Registration Using Joint Total Variation.

Mikael Brudfors, Yaël Balbastre, John Ashburner

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Flexible Bayesian Modelling for Nonlinear Image Registration.

Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Total Variation ESTATICS for Robust Multi-parameter Mapping.

Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert, Martina F. Callaghan, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

An algorithm for learning shape and appearance models without annotations.

John Ashburner, Mikael Brudfors, Kevin Bronik, Yaël Balbastre

Medical Image Anal., 2019

A Tool for Super-Resolving Multimodal Clinical MRI.

Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner

CoRR, 2019

Empirical Bayesian Mixture Models for Medical Image Translation.

Mikael Brudfors, John Ashburner, Parashkev Nachev, Yaël Balbastre

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Nonlinear Markov Random Fields Learned via Backpropagation.

Mikael Brudfors, Yaël Balbastre, John Ashburner

Proceedings of the Information Processing in Medical Imaging, 2019

2018

MRI Super-Resolution Using Multi-channel Total Variation.

Mikael Brudfors, Yaël Balbastre, Parashkev Nachev, John Ashburner

Proceedings of the Medical Image Understanding and Analysis - 22nd Conference, 2018

Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation.

Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Primatologist: A modular segmentation pipeline for macaque brain morphometry.

Yaël Balbastre, Denis Rivière, Nicolas Souedet, Clara Fischer, Anne-Sophie Hérard, Susannah Williams, Michel E. Vandenberghe, Julien Flament, Romina Aron-Badin, Philippe Hantraye, Jean-François Mangin, Thierry Delzescaux

NeuroImage, 2017

2016

Développement et validation d'outils pour l'analyse morphologique du cerveau de Macaque. (Morphometry Analysis Tools for the Macaque Brain : Development and Validation).

Yaël Balbastre

PhD thesis, 2016

Automated cell individualization and counting in cerebral microscopic images.

Zhenzhen You, Michel E. Vandenberghe, Yaël Balbastre, Nicolas Souedet, Philippe Hantraye, Caroline Jan, Anne-Sophie Hérard, Thierry Delzescaux

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

A Quantitative Approach to Characterize MR Contrasts with Histology.

Yaël Balbastre, Michel E. Vandenberghe, Anne-Sophie Hérard, Pauline Gipchtein, Caroline Jan, Anselme L. Perrier, Philippe Hantraye, Romina Aron-Badin, Jean-François Mangin, Thierry Delzescaux

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Robust supervised segmentation of neuropathology whole-slide microscopy images.

Michel E. Vandenberghe, Yaël Balbastre, Nicolas Souedet, Anne-Sophie Hérard, Marc Dhenain, Frédérique Frouin, Thierry Delzescaux

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015